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Statistical and bio-computational applications in animal sciences

Indian Agricultural Research Journals

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Title Statistical and bio-computational applications in animal sciences
 
Creator RAO, A R
DASH, MANOSWINI
SAHU, TANMAYA KUMAR
WAHI, S D
BEHERA, B K
SHARMA, A P
BHATIA, V K
 
Subject Allele mining, CNV, Drug discovery, GWAS, Machine learning, SNP, Transcriptomics, Vaccine designing
 
Description The demand for food proteins, including plant and animal proteins is increasing at an exponential rate. The demand for animal products will nearly be doubled by 2030. Thus, to improve livestock production and meet the animal protein demand, it is essential to go for application of interventions based on genomics, statistics and informatics. Such interventions are quite often used in the animal improvement programs to develop offspring with desirable traits. More recently, with the emergence of high throughput sequencing technologies, genomes of farm animals, fishes and model organisms were sequenced and the same are available in public domain. Also, with the advent of new silicon technologies, it has become possible to manage the generated data from genome sequencing projects. Now, the challenge lies with the analysis and interpretation of sequence data in a biologically meaningful manner, for which many algorithmic based analytical techniques and high performance computing methods were developed. Here, a brief review is presented on the application of various statistical and computational approaches used in genomic data analysis. Applications of the above mentioned approaches for health management and sustainable animal and fish production from the view point of vaccine and drug designing, disease risk management, epigenomics and whole genome level SNP/CNV associations with traits at are also discussed here. Besides, this paper allows the molecular biologists and other application scientists to analyze overwhelming amount of genomic data by different methods outlined here.
 
Publisher Directorate of Knowledge Management in Agriculture
 
Contributor —
 
Date 2014-05-15
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
—
 
Format application/pdf
 
Identifier http://epubs.icar.org.in/ejournal/index.php/IJAnS/article/view/40641
 
Source The Indian Journal of Animal Sciences; Vol 84, No 5 (2014)
0367-8318
 
Language eng
 
Relation http://epubs.icar.org.in/ejournal/index.php/IJAnS/article/view/40641/18195
 
Rights Copyright (c) 2014 The Indian Journal of Animal Sciences